Emanuele Laurenzi

41 papers C 4Misc 1Journal 4Unranked 28
YearRankTypeTitle / Venue / Authors
2025 — conf
A Research Roadmap for Digital Twins of an Organization.
BIR
Arianna Fedeli, Ghina Kassem, Khaled Sherif, Emanuele Laurenzi, Andrea Polini
2025 — conf
A hybrid artificial intelligence to support information retrieval in smart buildings.
BIR Workshops
Massimo Callisto De Donato, Emanuele Laurenzi, Daniele Porumboiu
2025 — conf
AOAME: An Enterprise Knowledge Graphs Editor for Domain Experts.
CAiSE Forum
Emanuele Laurenzi
2025 — conf
Continuous Calculation of Key Performance Indicators for Buildings through an Application Layer Connected to a Knowledge Graph.
LDAC
Christian Schmid, Sergio Acero González, Sascha Stoller, Wolfram Willuhn, Emanuele Laurenzi, James Allan
2025 — ed.
Joint Proceedings of the 3rd International Workshop on Hybrid Artificial Intelligence and Enterprise Modelling for Intelligent Information Systems (HybridAIMS 2025) and the 1st Workshop on Compliance in the Era of Artificial Intelligence (CAI 2025) co-located with the 37th International Conference on Advanced Information Systems Engineering (CAiSE 2025), Vienna, Austria, June 16-17, 2025.
HybridAIMS+CAI (Selected Papers)
Janis Grabis, Yves Wautelet, Emanuele Laurenzi, Hans Friedrich Witschel, Peter Haase, Marco Montali, Cristina Cabanillas, Andrea Marrella, Manuel Resinas, Karolin Winter
2024 — conf
A Decision-Support Approach for University Incubators.
Society 5.0
Emanuele Laurenzi, Dario Meyer, Patrick Moesch
2024 — conf
A Knowledge Graph-Based Decision Support System for Resilient Supply Chain Networks.
RCIS (1)
Wilhelm Düggelin, Emanuele Laurenzi
2024 — conf
AOAME4FloWare: ontology-based feature models for context-aware configurations in IoT applications.
BIR Workshops
Arianna Fedeli, Martin Peraic, Emanuele Laurenzi, Andrea Polini
2024 J jnl
An Agile and Ontology-based Meta-Modelling Approach for the Design and Maintenance of Enterprise Knowledge Graph Schemas.
Enterp. Model. Inf. Syst. Archit.
Emanuele Laurenzi
2024 — conf
An LLM-Aided Enterprise Knowledge Graph (EKG) Engineering Process.
AAAI Spring Symposia
Emanuele Laurenzi, Adrian Mathys, Andreas Martin
2024 — conf
An Ontology-Based Meta-modelling Approach for Semantic-Driven Building Management Systems.
CAiSE Workshops
Emanuele Laurenzi, James Allan, Nathalie Campos, Sascha Stoller
2024 — conf
An ontology-based meta-modelling approach for software test cases.
BIR Workshops
Nehemiah Mung'Au, Emanuele Laurenzi
2024 — ed.
Joint Proceedings of the BIR 2024 Workshops and Doctoral Consortium co-located with 23rd International Conference on Perspectives in Business Informatics Research (BIR 2024), Prague, Czech Republic, September 11, 2024.
BIR Workshops
Ana-Maria Ghiran, Anne Gutschmidt, Ulf Seigerroth, Kurt Sandkuhl, Marite Kirikova, Charles Møller, Robert Andrei Buchmann, Emanuele Laurenzi, Björn Johansson, Filip Vencovský
2024 J jnl
Large language models: Expectations for semantics-driven systems engineering.
Data Knowl. Eng.
Robert Buchmann, Johann Eder, Hans-Georg Fill, Ulrich Frank, Dimitris Karagiannis, Emanuele Laurenzi, John Mylopoulos, Dimitris Plexousakis, Maribel Yasmina Santos
2024 — ed.
Perspectives in Business Informatics Research - 23rd International Conference on Business Informatics Research, BIR 2024, Prague, Czech Republic, September 11-13, 2024, Proceedings
BIR
Václav Repa, Raimundas Matulevicius, Emanuele Laurenzi
2024 J jnl
Towards an early warning system for monitoring of cancer patients using hybrid interactive machine learning.
Frontiers Digit. Health
Andreas Trojan, Emanuele Laurenzi, Stephan Jüngling, Sven Roth, Michael Kiessling, Ziad Atassi, Yannick Kadvany, Meinrad Mannhart, Christian Jackisch, Gerd Kullak-Ublick, Hans Friedrich Witschel
2023 — conf
A Hybrid Intelligent Approach Combining Machine Learning and a Knowledge Graph to Support Academic Journal Publishers Addressing the Reviewer Assignment Problem (RAP).
AAAI Spring Symposium: MAKE
Dietrich Rordorf, Josua Käser, Alfredo Crego, Emanuele Laurenzi
2023 — conf
A Methodological approach for ontology-based meta-modelling.
BIR Workshops
Emanuele Laurenzi
2023 — conf
An Approach for Knowledge Graphs-Based User Stories in Agile Methodologies.
BIR
Marco Mancuso, Emanuele Laurenzi
2023 — conf
An Early Warning System that combines Machine Learning and a Rule-Based Approach for the Prediction of Cancer Patients' Unplanned Visits.
AAAI Spring Symposium: MAKE
Hans Friedrich Witschel, Emanuele Laurenzi, Stephan Jüngling, Y. Kadvany, Andreas Trojan
2023 — conf
Comparison of general-purpose and domain-specific modelling languages in the IoT domain: A case study from the OMiLAB community.
BIR Workshops
Arianna Fedeli, Nils Beutling, Emanuele Laurenzi, Andrea Polini
2023 — conf
Explainable AI for the Olive Oil Industry.
BIR
Christian Schmid, Emanuele Laurenzi, Umberto Michelucci, Francesca Venturini
2023 J jnl
Information Systems for Useful Innovation in Enterprises. Editorial Introduction to Issue 37 of CSIMQ.
Complex Syst. Informatics Model. Q.
Emanuele Laurenzi
2022 — conf
A Hybrid Intelligent Approach for the Support of Higher Education Students in Literature Discovery.
AAAI Spring Symposium: MAKE
Ryan Prater, Emanuele Laurenzi
2022 — ch.
BPMN4MoPla: Mobility Planning Based on Business Decision-Making.
Domain-Specific Conceptual Modeling
Emanuele Laurenzi, Oliver Ruggli, Alta van der Merwe
2022 — conf
Detecting Early Warning Indicators of Covid-19 Pandemic in the Context of United States: An Exploratory Data Analysis.
HCI (48)
Md Morshed Jaman Adnan, Knut Hinkelmann, Emanuele Laurenzi
2022 C conf
Value Creation Patterns for Industry-relevant Model-based Cyber-Physical Systems.
MODELSWARD
Nicolas C. Egger, Emanuele Laurenzi
2021 — conf
A Knowledge Base About Non-pharmaceutical Interventions to Support Hospitals in Responding to Pandemic Situations.
Society 5.0
Franck Polin, Emanuele Laurenzi
2020 C conf
ArchiMEO: A Standardized Enterprise Ontology based on the ArchiMate Conceptual Model.
MODELSWARD
Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Devid Montecchiari, Maja Spahic, Barbara Thönssen
2019 — conf
Towards an Assistive and Pattern Learning-driven Process Modeling Approach.
AAAI Spring Symposium: Combining Machine Learning with Knowledge Engineering
Emanuele Laurenzi, Knut Hinkelmann, Stephan Jüngling, Devid Montecchiari, Charuta Pande, Andreas Martin
2018 Misc conf
An Agile and Ontology-Aided Modeling Environment.
PoEM
Emanuele Laurenzi, Knut Hinkelmann, Alta van der Merwe
2018 — conf
Towards an Agile and Ontology-Aided Modeling Environment for DSML Adaptation.
CAiSE Workshops
Emanuele Laurenzi, Knut Hinkelmann, Stefano Izzo, Ulrich Reimer, Alta van der Merwe
2017 — conf
DSML4PTM - A Domain-Specific Modelling Language for Patient Transferal Management.
ICEIS (3)
Emanuele Laurenzi, Knut Hinkelmann, Ulrich Reimer, Alta van der Merwe, Pascal Sibold, Rainer Endl
2017 — conf
Mobile Stress Recognition and Relaxation Support with SmartCoping: User-Adaptive Interpretation of Physiological Stress Parameters.
HICSS
Ulrich Reimer, Emanuele Laurenzi, Edith Maier, Tom Ulmer
2017 — conf
Towards Business-to-IT Alignment in the Cloud.
ESOCC Workshops
Kyriakos Kritikos, Emanuele Laurenzi, Knut Hinkelmann
2016 — conf
A Semantically-Enhanced Modelling Environment for Business Process as a Service.
ES
Knut Hinkelmann, Emanuele Laurenzi, Benjamin Lammel, Sabrina Kurjakovic, Robert Woitsch
2016 — conf
An Ontology-Based and Case-Based Reasoning Supported Workplace Learning Approach.
MODELSWARD (Revised Selected Papers)
Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Andreas Martin, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang
2016 — conf
The Knowledge Work Designer - Modelling Process Logic and Business Logic.
Modellierung (Workshops)
Knut Hinkelmann, Arianna Pierfranceschi, Emanuele Laurenzi
2016 C conf
Workplace Learning - Providing Recommendations of Experts and Learning Resources in a Context-sensitive and Personalized Manner - An Approach for Ontology Supported Workplace Learning.
MODELSWARD
Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen, Hans Friedrich Witschel, Congyu Zhang
2014 — conf
SmartCoping - A Mobile Solution for Stress Recognition and Prevention.
HEALTHINF
Edith Maier, Ulrich Reimer, Emanuele Laurenzi, Monika Ridinger, Tom Ulmer
2012 C conf
Towards a Procedure for Assessing Supply Chain Risks Using Semantic Technologies.
IC3K
Sandro Emmenegger, Knut Hinkelmann, Emanuele Laurenzi, Barbara Thönssen